Talantix.io
Experian•22.02.26
AI SCORE 8.5

Data Science Intern - Remote

$30K–$40K/year
RemoteData Analysis
Python•Machine Learning•Data Analysis•SparkSQL•Statistical Analysis•Data Visualization

About the Role

Join Experian as a Data Science Intern - Remote and kickstart your career in data science. In this role, you will work under the guidance of the Lead ML Engineer to analyze large datasets and apply machine learning techniques. This internship offers a unique opportunity to gain hands-on experience in data mining, statistical analysis, and the development of data-driven models.

What You'll Do

  • Analyze large datasets using machine learning and statistical techniques.
  • Design efficient data structures and storage systems to optimize data handling.
  • Develop data-driven models to measure the value of data and conduct Return on Investment analysis.
  • Collaborate with team members to establish best practices for data usage.
  • Manage independent assignments and influence project outcomes through your contributions.
  • Build relationships with stakeholders by understanding their requirements and goals.
  • Share knowledge with team members and actively participate in the analytics community.

Requirements

  • Up to a year of experience in the Data Science field.
  • University degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Fluent in English, both written and spoken.
  • Knowledge of probability, statistical inference, and optimization algorithms.
  • Experience with analytical techniques such as regression analysis, machine learning, AI, and deep learning.
  • Familiarity with model cross-validation techniques and statistical significance tests.
  • Ability to write code in Python and experience with SparkSQL.
  • Understanding of modern big data technologies, including the Apache family (Hadoop, Spark).

Nice to Have

  • Experience with data visualization tools.
  • Knowledge of cloud platforms for data processing.
  • Previous internship experience in a related field.

What We Offer

  • Career pathway for professional growth supported by learning and development programs.
  • Comprehensive social benefit package including life insurance, food vouchers, and additional health insurance.
  • Work-life balance with 25 days of paid vacation and additional days off.
  • Opportunity for flexible working hours and the option to work from home.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Data Science Intern position offers a fantastic opportunity to gain hands-on experience in a leading company. Enjoy flexible working hours and a supportive environment for professional growth.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficiency in Python and familiarity with libraries such as Pandas and Scikit-learn to effectively manipulate and analyze data sets.

→

Self-motivated and able to thrive in a remote work environment, demonstrating strong time management skills and the ability to work independently on complex data projects.

→

A foundational understanding of machine learning concepts and statistical analysis methods, coupled with a curiosity-driven mindset to explore data and derive actionable insights.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python Coursecourse
→SparkSQL Documentationarticle

Career Path

Data Science Intern - Remote(Now)→Junior Data Scientist(1-2 years)→Data Scientist(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
28.5%
AI Adoption in Data Science
70%
Investment in AI and Data Science
+50%
Labour Demand for Data Scientists
+25%
Avg Salary for Data Scientists
$120K

Skills & Requirements

Required
PythonMachine LearningData Analysis
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud Computing (AWS, Azure)
Declining
R ProgrammingExcel for Data Analysis

Domain Trends

Increased Demand for AI-Driven Insights
By 2025, 80% of data science projects will require AI-driven insights, leading to a 30% increase in demand for data scientists proficient in AI technologies.
Shift Towards Automated Machine Learning (AutoML)
The adoption of AutoML tools is expected to grow by 40% in the next two years, enabling faster model development and reducing the need for traditional coding skills.
Rise of Data Ethics and Governance
Over 60% of organizations are prioritizing data ethics, driving a demand for data scientists who can navigate regulatory frameworks and ensure responsible AI usage.

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